ROI Segmentation for Feature Extraction from Human Facial Images

TL;DR

This paper presents a method for extracting facial features by segmenting regions of interest using skin color segmentation, thresholding, and knowledge-based techniques to enhance human-computer interaction applications.

Contribution

It introduces a novel combination of skin color segmentation, thresholding, and knowledge-based methods for improved facial feature extraction.

Findings

Effective segmentation of facial regions of interest.

Enhanced feature extraction accuracy for HCI applications.

Potential for real-time face recognition improvements.

Abstract

Human Computer Interaction (HCI) is the biggest goal of computer vision researchers. Features form the different facial images are able to provide a very deep knowledge about the activities performed by the different facial movements. In this paper we presented a technique for feature extraction from various regions of interest with the help of Skin color segmentation technique, Thresholding, knowledge based technique for face recognition.